Predictive Models of Business Value Management by Kaganovskyi Oleksandr S., Chmutova Iryna M.

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Predictive power of nuclear-mass models by Yu. A. Litvinov, A. Sobiczewski, E. A. Cherepanov

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Melanoma risk prediction models by Nikolić Jelena, Lončar-Turukalo Tatjana, Sladojević Srđan, Marinković Marija, Janjić Zlata

“…The aim of this study was to identify most significant factors for melanoma prediction in our population and to create prognostic models for identification and differentiation of individuals at risk. …”
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Models for predicting juvenile hypertension by Vytautas Janilionis, Edita Janavičiūtė, Jūratė Klumbienė, Giedrė Sakalauskienė

“… Aim of present study was to create some models to predict juvenile hypertension. Data was taken from longitudinal study of Juvenile hypertension in Lithuania. …”
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Predicting periprosthetic joint infection: external validation of preoperative prediction models by S.-J. Yoon, P. C. Jutte, A. Soriano, R. Sousa, W. P. Zijlstra, M. Wouthuyzen-Bakker

“…<p><strong>Introduction</strong>: Prediction models for periprosthetic joint infections (PJIs) are gaining interest due to their potential to improve clinical decision-making. …”
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Modeling and Discovering Direct Causes for Predictive Models by Yizuo Chen, Amit Bhatia

“… We introduce a causal modeling framework that captures the input-output behavior of predictive models (e.g., machine learning models). …”
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Statin effects on the lipidome: Predicting statin usage and implications for cardiovascular risk prediction by Changyu Yi, Kevin Huynh, Yvette Schooneveldt, Gavriel Olshansky, Amy Liang, Tingting Wang, Habtamu B. Beyene, Aleksandar Dakic, Jingqin Wu, Michelle Cinel, Natalie A. Mellett, Gerald F. Watts, Joseph Hung, Jennie Hui, John Beilby, Joanne E. Curran, John Blangero, Eric K. Moses, John Simes, Andrew M. Tonkin, Leonard Kritharides, David Sullivan, Jonathan E. Shaw, Dianna J. Magliano, Agus Salim, Corey Giles, Peter J. Meikle, A. Tonkin, P. Aylward, D. Colquhoun, P. Glasziou, P. Harris, D. Hunt, A. Keech, S. MacMahon, P. Magnus, D. Newel, P. Nestel, N. Sharpe, J. Shaw, R.J. Simes, P. Thompson, A. Thomson, M. West, H. White, A. Thomson, S. Simes, D. Colquhoun, W. Hague, S. MacMahon, R.J. Simes, R.J. Simes, P. Glasziou, S. Caleo, J. Hall, A. Martin, S. Mulray, P. Barter, L. Beilin, R. Collins, J. McNeil, P. Meier, H. Willimott, P. Harris, W. Hague, D. Smithers, A. Tonkin, P. Wallace, H. Willimott, D. Hunt, J. Baker, P. Aylward, P. Harris, M. Hobbs, P. Thompson, N. Sharpe, D. Hunt, M. West, P. Thompson, H. White, P. Aylward, D. Colquhoun, D. Sullivan, A. Keech, P. Thompson, S. MacMahon, A. Tonkin, M. West, H. White, N. Anderson, G. Hankey, R.J. Simes, S. Simes, J. Watson, R.J. Simes, N. Sharpe, A. Thomson, A. Tonkin, H. White, W. Hague, J. Baker, M. Arulchelvam, S. Chup, J. Daly, J. Hanna, A. Leach, M. Lee, J. Loughhead, H. Lundie-Jenkin, J. Morrison, A. Martin, S. Mulray, S. Netting, A. Nguyen, H. Pater, R. Philip, G. Pinna, D. Rattos, S. Ryerson, V. Sazhin, S. Simes, R. Walsh, A. Keech, R.J. Simes, A. Clague, M. Mackie, J. Yallop, K. Boss, S. MacMahon, M. Whiting, M. Shepard, J. Leach, M. Gandy, J. Joughin, J. Seabrook, R. Abraham, J. Allen, F. Bates, I. Beinart, E. Breed, D. Brown, N. Bunyan, D. Calvert, T. Campbell, D. Condon-Paoloni, B. Conway, L. Coupland, J. Crowe, N. Cunio, B. Cuthbert, N. Cuthbert, S. D’Arcy, P. Davidson, B. Dwyer, J. England, C. Friend, G. Fulcher, S. Grant, K. Hellestrand, M. Kava, L. Kritharides, D. McGill, H. McKee, A. McLean, M. Neaverson, G. Nelson, M. O’Neill, C. Onuma, F. O’Reilly, A. Owensby, D. Owensby, J. Padley, G. Parnell, S. Paterson, C. Pawsey, R. Portley, K. Quinn, D. Ramsay, M. Russell, J. Ryan, B. Sambrook, L. Shields, J. Silberberg, S. Sinclair, D. Sullivan, P. Taverner, D. Taylor, M. Taylor, M. Threlfall, J. Turner, A. Viles, J. Waites, R. Walker, W. Walsh, K. Wee, P. West, R. Wikramanayake, D. Wilcken, J. Woods, R.K. Barnett, Z. Bogetic, H. Briggs, A. Broughton, L. Brown, A. Buncle, P. Calafiore, L. Carrick, Y. Cavenett, L. Champness, R. Clark, H. Connor, J. Counsell, J. Deague, G. Derwent-Smith, A. Driscoll, B. Feldtmann, L. Fisher, B. Forge, A. Hamer, H. Harrap, S. Hodgens, M. Hooten, J. Hurley, B. Jackson, J. Johns, J. Krafchek, H. Larwill, I. Lyall, S. Marks, M. Martin, B. Mason, J. McCabe, C. Medley, L. Morgan, L. Mullan, D. Ogilvy, G. Phelps, P. Phillips, H. Prendergast, D. Rose, G. Rudge, W. Ryan, M. Sallaberger, G. Savige, B. Sia, A. Soward, C. Steinfort, K. Tankard, J. Tippett, B. Tyack, J. Voukelatis, M. Wahlqvist, N. Walker, S. Whitten, R. Yee, M. Zanoni, R. Ziffer, K. Anderson, G. Aroney, C. Atkinson, K. Boyd, R. Bradfield, G. Cameron, D. Careless, A. Carle, P. Carroll, T. Carruthers, D. Chaseling, B. Cooke, S. Coverdale, B. Currie, M. d’Emden, F. Ekin, R. Elder, T. Elsley, L. Ferry, C. Gnanaharan, K. Graham, K. Gunawardane, C. Hadfield, C. Halliday, R. Halliday, A. Heyworth, B. Hicks, P. Hicks, T. Htut, L. Hughes, J. Humphries, H. LeGood, J. Nye, D. O’Brien, G. Real, K. Roberts, L. RossLee, J. Sampson, I. Scott, H. Smith, V. Smith-Orr, Y. Tan, B. Wicks, J. Wicks, S. Woodhouse, J. Bradley, L. Callaway, A. Calvert, J. Crettenden, A. Dufek, B. Dunn, C. Dunphy, D. Gow, I. Hamilton-Craig, K. Herewane, S. Keynes, L. McLeay, R. McLeay, L. Ng, C. Thomas, P. Tideman, L. Wilson, R. Yeend, C. Zhang, Y. Zhang, P. Bradshaw, M. Brooks, R. Burton, J. Garrett, K. Gotch-Martin, J. Hargan, B. Hockings, G. Lane, S. Ross, R. Cutforth, D. D’Silva, W. Hitchener, V. Kimber, G. Kirkland, P. Neid, R. Parkes, B. Singh, C. Singh, M. Smith, S. Smith, M. Templer, N. Whitehouse, R. Allen-Narker, R. Anandaraja, S. Anandaraja, P. Barclay, S. Baskaranathan, P. Bridgman, J. Brown, J. Bruning, J. Calton, A. Clague, M. Clark, D. Clarke, T. Cook, R. Coxon, M. Denton, A. Doone, R. Easthope, J. Elliott, C. Ellis, P. FosterPratt, C. Frenneux, M. Frenneux, D. Friedlander, D. Fry, L. Gibson, M. Gluyas, A. Hall, K. Hall, A. Hamer, H. Hart, P. Healy, J. Hedley, P. Heuser, H. Ikram, D. Jardine, J. Kenyon, H. King, T. Kirk, T. Lawson, P. Leslie, G. Lewis, E. Low, R. Luke, S. Mann, D. McClean, D. McHaffie, L. Nairn, H. Patel, L. Pearce, K. Ramanathan, R. Rankin, J. Reddy, S. Reuben, R. Ronaldson, D. Roy, H. Roy, P. Scobie, D. Scott, J. Scott, K. Skjellerup, R. Stewart, D. Walters, T. Wilkins, A. Vitanachy, P. Wright, A. Zambanini

“…We demonstrated that the re-weighted models achieved comparable prediction accuracy to ad hoc models which use the aligned predictor between training and target data. …”
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Study on predictive models for COVID-19 in Cuba by Juan Felipe Medina Mendieta, Manuel Eduardo Cortés Cortés, Manuel Cortés Iglesias, Annia del Carmen Pérez Fernández, Marianelis Manzano Cabrera

“…<br /><strong>Methods:</strong> the least squares method was used to obtain the parameters using linear (MCL) and nonlinear (MCNL) models. Logistic and exponential models, such as the logistic growth curve, used to model population growth (Gompertz growth models), were applied to the growth prediction of infected cases and / or deaths, respectively.…”
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Risk-Stratified Predictive Models of Pregnancy Loss by O. V. Shirai, B. I. Aslanov, S. V. Rishchuk, S. E. Melnikova

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DEVELOPING PREDICTIVE MODELS OF INTERNET SERVICE STRATEGIES by Maxim Yu. Khramov

“…Issues related to strategic managementof interactive online services as well as difficulties in predicting results of strategies’ implementation were studied in the article. …”
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On the Relevance and Limitations of Predictive Models in Clinical Psychology by Emanuele Maria Merlo

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Prediction of mortality in very premature infants: a systematic review of prediction models. by Stephanie Medlock, Anita C J Ravelli, Pieter Tamminga, Ben W M Mol, Ameen Abu-Hanna

“…The aim of this review is to give an overview of prediction models for mortality in very premature infants, assess their quality, identify important predictor variables, and provide recommendations for development of future models.…”
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ON DESIGN OF PREDICTIVE MODEL FOR HEART DISEASE by Soumyendu Bhattacharjee, Susmita Das, Sangita Roy, Arpita Santra, Anasuya Sarkar, Moumita Pa, Biswarup Neogi

Subjects: “…predictive model…”
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Disease prediction models and operational readiness. by Courtney D Corley, Laura L Pullum, David M Hartley, Corey Benedum, Christine Noonan, Peter M Rabinowitz, Mary J Lancaster

“…These events are characterized by evidence of infection and or disease condition. We reviewed models that attempted to predict a disease event, not merely its transmission dynamics and we considered models involving pathogens of concern as determined by the US National Select Agent Registry (as of June 2011). …”
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Development of prediction models of severity of leptospirosis by S. O. Mayorova, Yu. V. Lobzin, S. G. Grigoriev, A. A. Yakovlev

“…The possibilities of development and use of multivariate mathematical-statistical models to predict the severity of disease variants at the initial examination the patient’s physician.…”
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Risk prediction models for difficult cholecystectomy by Gan Chen, Min Li, Baoqiang Cao, Qingwen Xu, Zhigong Zhang

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Quick Models for Saccade Amplitude Prediction by Oleg V. Komogortsev, Young Sam Ryu, Do H. Koh

“…This paper presents a new saccade amplitude prediction model. The model is based on a Kalman filter and regression analysis. …”
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Predicting the Phenology of Herbivorous Insects by Zimo Yang, Elise Woodruff, David Held, Nate B. Hardy

“…Here, with multilevel Bayesian models, we performed a comparative analysis of 601 published herbivorous insect phenology models. …”
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A Brain Emotional Learning-based Prediction Model A Brain Emotional Learning-based Prediction Model For the Prediction of Geomagnetic Storms by Mahboobeh Parsapoor, Urban Bilstrup, Bertil Svensson

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Explainable Model Prediction of Memristor by Sruthi Pallathuvalappil, Rahul Kottappuzhackal, Alex James

“…The accurate memristor model prediction becomes critical to decipher the overall circuit function in a wide range of nonideal and practical conditions. …”
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